• DocumentCode
    943026
  • Title

    Analysis of adaptive differential PCM of a stationary Gauss - Markov input

  • Author

    Gerr, Neil L. ; Cambanis, Stamatis

  • Volume
    33
  • Issue
    3
  • fYear
    1987
  • fDate
    5/1/1987 12:00:00 AM
  • Firstpage
    350
  • Lastpage
    359
  • Abstract
    An adaptive matched differential pulse-code modulator (AMDPCM) is analyzed. The adaptation of the symmetric uniform quantizer parameter \\Delta _{n} is performed by fixed multipliers assigned to the quantizer output levels. The input is stationary first-order Gauss-Markov. The correlation of the samples is used as the leakage parameter in the matched integrator, with the predictive reconstruction similarly matched. For a 4 -level quantizer and multipliers (\\gamma ^{-1}, \\gamma ) the limiting joint distribution of the prediction error and \\Delta _{n} is derived and the asymptotic sample-point and time-averaged mean-square error (rose) and mean and variance of \\Delta _{n} as functions of \\gamma \\in (1,2] are computed and plotted. It is found that the asymptotic performance of AMDPCM does not depend on the choice of \\Delta _{0} , that the increase in mse incurred by using A(M)DPCM instead of (M)DPCM with \\Delta _{opt} is small, with mse(A(M)DPCM) \\downarrow \\min_{\\Delta } mse ((M)DPCM) as \\gamma \\downarrow 1 , and that the signal-to-noise ratio of AMDPCM does not depend on the input power.
  • Keywords
    Differential pulse-code modulation; Markov processes; Delta modulation; Feedback; Gaussian processes; Information theory; Phase change materials; Pulse modulation; Quantization; Signal to noise ratio; Statistics;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1987.1057318
  • Filename
    1057318